Building a Smarter AI Strategy: From Investment to Impact
March 24 - 25, 2026
| Free CX Network Webinar Series
Banani Mohapatra is a seasoned AI/ML leader with over 13 years of experience at the intersection of data science, product management, and enterprise innovation.
As a Senior Data Science Leader at Walmart, she builds scalable AI/ML systems that power e-commerce personalization for millions of customers, delivering measurable business impact across the product lifecycle.
She has published applied AI research with IEEE in areas including Generative AI, Agentic AI, causal inference, and experimentation platforms, and is a frequent speaker at global AI summits on responsible and enterprise-scale AI adoption.
Recognized among the top 1% of mentors on ADPList and an active member of the Women in Data Science (WiDS) community, she also mentors through Prep Vector, collaborating with leaders from Google and Microsoft to help shape the next generation of AI professionals.
Her work focuses on bridging advanced research with practical, high-impact AI applications that democratize innovation at scale.
Day One
1:00 PM Personalization & recommendations at scale: The new CX currency
Personalized experiences are now a baseline customer expectation, with research showing that 67 percent of consumers expect personalized online shopping experiences. It is no surprise, then, that personalization has been found to create between 5 – 25 percent uplift in revenue. This session brings together leaders from Apple and Walmart to explore how advanced recommendation systems, powered by LLMs and behavioral data, shape customer journeys from discovery to purchase, and how to balance relevance with trust and control.
Scaling personalization across millions of users introduces unique challenges: managing huge data volumes, keeping models functional under enormous loads, and ensuring recommendations remain relevant rather than generic or intrusive. Attendees will get a practitioner’s view into these trade offs and how intent driven systems (like app store ads or ecommerce discoverability layers) are evolving to meet them.
Attendees will learn:
- Key strategies for building and evolving LLM powered recommendation systems that boost engagement and revenue.
- How to maintain relevance and measure success at enterprise scale.
- Best practices for aligning personalization technologies with brand experience and customer trust.
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